贵州省授权专利行业及IPC分布数据集
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在构建“授权专利行业及IPC分布数据集”的分析规则中,我们从多元化的公开渠道收集原始数据,并实施了全面的数据治理操作以提升数据质量和可用性。首先,通过严格的数据清洗去除噪音和冗余信息,确保如专利号等关键标识的准确性和一致性,同时修正或删除错误与不完整的记录。随后,采用精密的数据转换步骤统一不同来源的数据格式,便于后续的分析处理。这一过程保障了数据的精确性与一致性,为支持决策、促进技术研发规范化提供了坚实基础。
In the analysis rules for constructing the "Authorized Patent Industry and IPC Distribution Dataset", we collected raw data from diverse public channels and implemented comprehensive data governance operations to enhance data quality and usability. First, strict data cleaning was performed to eliminate noise and redundant information, ensuring the accuracy and consistency of key identifiers such as patent numbers, while correcting or deleting erroneous and incomplete records. Subsequently, precise data transformation steps were adopted to unify the data formats from different sources, facilitating subsequent analytical processing. This process guarantees the accuracy and consistency of the dataset, providing a solid foundation for supporting decision-making and promoting the standardization of technological research and development.




